Evidence map›Paper›PMID 32515443›Full record

ArticleBiomaterials science2020

Cocaine analogue conjugated magnetic nanoparticles for labeling and imaging dopaminergic neurons.

Mike Jeon, Guanyou Lin, Zachary R Stephen, Josey E Vechey, Manjot Singh, Richard Revia, Amy Hauck Newman, Diana Martinez, Miqin Zhang

Abstract read
In one paragraph

Article in Biomaterials science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Mike JeonDepartment of Material Sciences and Engineering, University of Washington, Seattle, WA 98195, USA. mzhang@uw.edu.
Guanyou Lin
Zachary R Stephen
Josey E Vechey
Manjot Singh
Richard Revia
Amy Hauck Newman
Diana Martinez
Miqin Zhang

Funding

Monoamine Transporter NanoprobesZIADA000610 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI NEWMAN, AMY HAUCK · 2016 to 2020
$2.5M
Iron oxide nanotheranostics for breast cancerR01EB026890 · NIBIB · UNIVERSITY OF WASHINGTON · PI ZHANG, MIQIN · 2018 to 2021
$1.9M
Multifunctional nanoparticles to improve treatment of human glioblastomaR01CA161953 · NCI · UNIVERSITY OF WASHINGTON · PI ZHANG, MIQIN · 2013 to 2017
$1.7M
Intramural NIH HHS ZIA DA000610NCI NIH HHS R01 CA161953NIBIB NIH HHS R01 EB026890
6 · The paper itself

Abstract

Molecular imaging of the dopamine transporter (DAT) with Positron Emission Tomography (PET) or Single Photon Emission Computed Tomography (SPECT) has been widely used in studies of neurological and psychiatric disorders. Nevertheless, there is a great interest in expanding molecular imaging to include magnetic resonance technology, because of the superior spatial resolution this technology may provide. Here we present a magnetic nanoparticle (NP) that specifically targets dopaminergic neurons and allows DAT imaging with magnetic resonance imaging (MRI). The nanoparticle (namely, NP-DN) is composed of an iron oxide core and a polyethylene glycol (PEG) coating to which a DAT specific dopaminergic neurolabeler (DN) is conjugated. NP-DN displayed long-term stability with favorable hydrodynamic size and surface charge suitable for in vivo application. In vitro studies showed NP-DN was non-toxic, displayed specificity towards DAT-expressing neurons, and demonstrated a 3-fold increase in DAT labeling over non-targeted NP. Our study shows NP-DN provides excellent contrast enhancement for MRI and demonstrates great potential for neuroimaging.

Indexed as

CocaineMagnetite NanoparticlesNanoparticlesDopaminergic NeuronsHumansMagnetic Resonance ImagingMagneticsTomography, Emission-Computed, Single-PhotonCocaineMagnetite Nanoparticles

Identifiers

PMID32515443
PMCPMC7390663

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.